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Träfflista för sökning "WFRF:(Cannon T) "

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61.	Gusev, A, et al. (author) Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation 2016 In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 7, s. 10979- Journal article (peer-reviewed)abstract Although genome-wide association studies have identified over 100 risk loci that explain ∼33% of familial risk for prostate cancer (PrCa), their functional effects on risk remain largely unknown. Here we use genotype data from 59,089 men of European and African American ancestries combined with cell-type-specific epigenetic data to build a genomic atlas of single-nucleotide polymorphism (SNP) heritability in PrCa. We find significant differences in heritability between variants in prostate-relevant epigenetic marks defined in normal versus tumour tissue as well as between tissue and cell lines. The majority of SNP heritability lies in regions marked by H3k27 acetylation in prostate adenoc7arcinoma cell line (LNCaP) or by DNaseI hypersensitive sites in cancer cell lines. We find a high degree of similarity between European and African American ancestries suggesting a similar genetic architecture from common variation underlying PrCa risk. Our findings showcase the power of integrating functional annotation with genetic data to understand the genetic basis of PrCa.
62.	Jiang, X, et al. (author) Publisher Correction: Shared heritability and functional enrichment across six solid cancers 2019 In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1, s. 4386- Journal article (other academic/artistic)abstract An amendment to this paper has been published and can be accessed via a link at the top of the paper.
63.	Kote-Jarai, Z, et al. (author) Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study 2011 In: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 43:8, s. 785-U96 Journal article (peer-reviewed)
64.	Mirian, C, et al. (author) The importance of considering competing risks in recurrence analysis of intracranial meningioma 2024 In: Journal of neuro-oncology. - 1573-7373. ; 166:3, s. 503-511 Journal article (peer-reviewed)
65.	Nunes, A, et al. (author) Using structural MRI to identify bipolar disorders-13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group 2019 In: BIPOLAR DISORDERS. - 1398-5647. ; 21, s. 26-27 Conference paper (other academic/artistic)
66.	Nunes, A, et al. (author) Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group 2020 In: Molecular psychiatry. - : Springer Science and Business Media LLC. - 1476-5578 .- 1359-4184. ; 25:9, s. 2130-2143 Journal article (peer-reviewed)abstract Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective biological markers, such as those based on brain imaging, could aid in clinical management of BD. Machine learning (ML) brings neuroimaging analyses to individual subject level and may potentially allow for their diagnostic use. However, fair and optimal application of ML requires large, multi-site datasets. We applied ML (support vector machines) to MRI data (regional cortical thickness, surface area, subcortical volumes) from 853 BD and 2167 control participants from 13 cohorts in the ENIGMA consortium. We attempted to differentiate BD from control participants, investigated different data handling strategies and studied the neuroimaging/clinical features most important for classification. Individual site accuracies ranged from 45.23% to 81.07%. Aggregate subject-level analyses yielded the highest accuracy (65.23%, 95% CI = 63.47–67.00, ROC-AUC = 71.49%, 95% CI = 69.39–73.59), followed by leave-one-site-out cross-validation (accuracy = 58.67%, 95% CI = 56.70–60.63). Meta-analysis of individual site accuracies did not provide above chance results. There was substantial agreement between the regions that contributed to identification of BD participants in the best performing site and in the aggregate dataset (Cohen’s Kappa = 0.83, 95% CI = 0.829–0.831). Treatment with anticonvulsants and age were associated with greater odds of correct classification. Although short of the 80% clinically relevant accuracy threshold, the results are promising and provide a fair and realistic estimate of classification performance, which can be achieved in a large, ecologically valid, multi-site sample of BD participants based on regional neurostructural measures. Furthermore, the significant classification in different samples was based on plausible and similar neuroanatomical features. Future multi-site studies should move towards sharing of raw/voxelwise neuroimaging data.
67.	Schumacher, FR, et al. (author) Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci 2018 In: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 50:7, s. 928- Journal article (peer-reviewed)
68.	Schumacher, FR, et al. (author) Author Correction: Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci 2019 In: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 51:2, s. 363-363 Journal article (peer-reviewed)
69.	Southey, MC, et al. (author) PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS 2016 In: Journal of medical genetics. - : BMJ. - 1468-6244 .- 0022-2593. ; 53:12, s. 800-811 Journal article (peer-reviewed)
70.	Sumaila, U. Rashid, et al. (author) WTO must ban harmful fisheries subsidies 2021 In: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 374:6567, s. 544-544 Journal article (other academic/artistic)

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Result 61-70 of 191

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Type of publication: journal article (173); conference paper (14); research review (3); book chapter (1)

Type of content: peer-reviewed (165); other academic/artistic (26)

Author/Editor: Giles, GG (29); Brenner, H (27); Cannon, A. (27); Haiman, CA (26); Muir, K (24); Nordestgaard, BG (24); show more...; Agartz, I (20); MCDONALD, C (20); Bouvier, A. (19); Bulik, T. (18); Perkins, J. S. (18); Reyes, L. C. (18); SCHAID, DJ (18); Jahanshad, N (18); Henderson, BE (18); Pohl, M. (17); Benbow, W. (17); Bugaev, V. (17); Cui, W. (17); Falcone, A. (17); Fortson, L. (17); Furniss, A. (17); Holder, J. (17); Kaaret, P. (17); Moriarty, P. (17); Ong, R. A. (17); Otte, A. N. (17); Ragan, K. (17); Reynolds, P. T. (17); Roache, E. (17); Sembroski, G. H. (17); Wakely, S. P. (17); Williams, D. A. (17); Ciupik, L. (17); Krennrich, F. (17); Maier, G. (17); Andreassen, OA (17); Ryan, K. (17); Beilicke, M. (17); Buckley, J. H. (17); Cesarini, A. (17); Galante, N. (17); Gall, D. (17); Gyuk, G. (17); Krawczynski, H. (17); Theiling, M. (17); Varlotta, A. (17); Cannon, DM (17); Gruber, O (17); Southey, MC (17); show less...

University: Karolinska Institutet (112); Uppsala University (29); University of Gothenburg (22); Lund University (21); Umeå University (19); Stockholm University (19); show more...; Royal Institute of Technology (16); Linnaeus University (16); Chalmers University of Technology (5); Örebro University (4); Linköping University (3); Jönköping University (2); Luleå University of Technology (1); Stockholm School of Economics (1); show less...

Language: English (188); Undefined language (3)

Research subject (UKÄ/SCB): Natural sciences (64); Medical and Health Sciences (52); Social Sciences (7)

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